Proceedings of the 2nd Annual International Conference on Advanced Material Engineering (AME 2016)

Study the Global Performance Index of Parallel Mechanism

Authors
Qi-Kai Yu, You-Peng You, Jiang-Yi Han
Corresponding Author
Qi-Kai Yu
Available Online June 2016.
DOI
10.2991/ame-16.2016.130How to use a DOI?
Keywords
Parallel Mechanism, Jacobi Matrix, Global Performance Index.
Abstract

There are some one-sided in the robot performance index of the current robot. This paper applies delta parallel mechanism to analyze the condition number index and global performance index (GPI). An improved global motion performance volatility index is also introduced according to the deficiency of GPI. The objective optimization function is established and two sets of satisfactory optimization results were obtained. The global performance volatility was later used to select the optimum result in a given space. Finally, Volatility index were studied and successful implementations were conducted on manipulators.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd Annual International Conference on Advanced Material Engineering (AME 2016)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/ame-16.2016.130
ISSN
2352-5401
DOI
10.2991/ame-16.2016.130How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qi-Kai Yu
AU  - You-Peng You
AU  - Jiang-Yi Han
PY  - 2016/06
DA  - 2016/06
TI  - Study the Global Performance Index of Parallel Mechanism
BT  - Proceedings of the 2nd Annual International Conference on Advanced Material Engineering (AME 2016)
PB  - Atlantis Press
SP  - 791
EP  - 797
SN  - 2352-5401
UR  - https://doi.org/10.2991/ame-16.2016.130
DO  - 10.2991/ame-16.2016.130
ID  - Yu2016/06
ER  -